Appropriateness of the 30-day expected mortality metric in palliative radiation treatment: a narrative review.

30-day Dedicated Rapid Access Palliative RT (RAPRT) clinics Palliative radiotherapy end-of-life mortality single-fraction

Journal

Annals of palliative medicine
ISSN: 2224-5839
Titre abrégé: Ann Palliat Med
Pays: China
ID NLM: 101585484

Informations de publication

Date de publication:
May 2023
Historique:
received: 14 01 2023
accepted: 03 04 2023
medline: 6 6 2023
pubmed: 21 4 2023
entrez: 21 04 2023
Statut: ppublish

Résumé

The 30-day expected mortality rate is frequently used as a metric to determine which patients benefit from palliative radiation treatment (RT). We conducted a narrative review to examine whether its use as a metric might be appropriate for patient selection. A literature review was conducted to identify relevant studies that highlight the benefits of palliative RT in timely symptom management among patients with a poor performance status, the accuracy of predicting survival near the end of life and ways to speed up the process of RT administration through rapid response clinics. Several trials have demonstrated substantial response rates for pain and/or bleeding by four weeks and sometimes within the first two weeks after RT. Models of patient survival have limited accuracy, particularly for predicting whether patients will die within the next 30 days. Dedicated Rapid Access Palliative RT (RAPRT) clinics, in which patients are assessed, simulated and treated on the same day, reduce the number of patient visits to the radiation oncology department and hence the burden on the patient as well as costs. Single-fraction palliative RT should be offered to eligible patients if they are able to attend treatment and could potentially benefit from symptom palliation, irrespective of predicted life expectancy. We discourage the routine use of the 30-day mortality as the only metric to decide whether to offer RT. More common implementation of RAPRT clinics could result in a significant benefit for patients of all life expectancies, but particularly those having short ones.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
The 30-day expected mortality rate is frequently used as a metric to determine which patients benefit from palliative radiation treatment (RT). We conducted a narrative review to examine whether its use as a metric might be appropriate for patient selection.
METHODS METHODS
A literature review was conducted to identify relevant studies that highlight the benefits of palliative RT in timely symptom management among patients with a poor performance status, the accuracy of predicting survival near the end of life and ways to speed up the process of RT administration through rapid response clinics.
KEY CONTENT AND FINDINGS UNASSIGNED
Several trials have demonstrated substantial response rates for pain and/or bleeding by four weeks and sometimes within the first two weeks after RT. Models of patient survival have limited accuracy, particularly for predicting whether patients will die within the next 30 days. Dedicated Rapid Access Palliative RT (RAPRT) clinics, in which patients are assessed, simulated and treated on the same day, reduce the number of patient visits to the radiation oncology department and hence the burden on the patient as well as costs.
CONCLUSIONS CONCLUSIONS
Single-fraction palliative RT should be offered to eligible patients if they are able to attend treatment and could potentially benefit from symptom palliation, irrespective of predicted life expectancy. We discourage the routine use of the 30-day mortality as the only metric to decide whether to offer RT. More common implementation of RAPRT clinics could result in a significant benefit for patients of all life expectancies, but particularly those having short ones.

Identifiants

pubmed: 37081704
doi: 10.21037/apm-23-56
pii: apm-23-56
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

620-632

Auteurs

Inmaculada Navarro-Domenech (I)

Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.

Tara Behroozian (T)

Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Peter Hoskin (P)

Mount Vernon Cancer Centre, Northwood, United Kingdom; Division of Cancer Sciences, University of Manchester, Manchester, UK.

Candice Johnstone (C)

Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.

Abram Recht (A)

Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Johan Menten (J)

Department of Radiation Oncology, University Hospital Leuven, Leuven, Belgium.

Eva Oldenburger (E)

Department of Radiation Oncology, University Hospital Leuven, Leuven, Belgium.

Yvette M van der Linden (YM)

Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, and Leiden University Medical Center, Leiden, The Netherlands.

Joanne M van der Velden (JM)

Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, and Leiden University Medical Center, Leiden, The Netherlands.

Quynh-Nhu Nguyen (QN)

Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Charles B Simone (CB)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Peter Johnstone (P)

Department of Health Outcomes and Behavior and Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

Stephen Lutz (S)

Eastern Woods Radiation Oncology, Blanchard Valley Health Organization, Findlay, OH, USA.

Lauren Milton (L)

Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Nicolaus Andratschke (N)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Jonas Willmann (J)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Joanna Kazmierska (J)

Radiotherapy Department II, Greater Poland Cancer Centre, Poznan, Poland; Department of Electroradiology, Poznań University of Medical Sciences, Poznań, Poland.

Mateusz Spałek (M)

Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland; Department of Radiotherapy I, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.

Gustavo N Marta (GN)

Department of Radiation Oncology, Hospital Sírio-Libanês, Sao Paulo, Brazil.

Edward Chow (E)

Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Srinivas Raman (S)

Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.

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Classifications MeSH